π New preprint! With @mzanin, we review functional network methods for transportation delay analysis + introduce #delaynet, an open-source Python package for delay propagation studies.
Case study: Swiss rail delays (2022-2025) using open data from SBB & opentransportdata.swiss (operated by SKI+ for BAV).
π arXiv: https://arxiv.org/abs/2510.05143
π» `pip install delaynet`
π Docs: https://delaynet.readthedocs.io/
β Code: https://github.com/cbueth/delaynet
#Transportation #NetworkScience #OpenData #Python #RailTransport


